Founding Machine Learning Engineer
Job description
As a Founding Machine Learning Engineer, the work centres on own the end‑to‑end loop from research to prototype to production through to iteration. It would suit someone who can bring strong professional approach to the role.
What the work leans on
Get excited at the idea of working together in‑person from our office in Old Street (typically at least 3 days a week). Now, a few months later, we’ve secured over $3m in funding from investors and operators behind companies like Lovable, Eleven.
Where the technical work sits
- Own the end‑to‑end loop from research to prototype to production through to iteration.
- Improving performance in the pursuit of real‑time decision‑making.
- Whether you’re training multimodal models, or polishing user experiences, you’ll own how you manage and prioritise your time.
Technical requirements
- A Machine Learning Engineer with strong experience in computer vision and an interest in multimodality.
- Hands‑on experience across modern machine learning and classical CV (CNNs, OpenCV).
- Love working in a startup environment (you either have experience working in a startup or can point to products/companies you’ve built yourself).
What helps delivery stay steady
Strong professional approach.
Practical details
- Calmness when life moves quickly and priorities shift. You can decide what matters most, make progress without being blocked, and keep shipping while the product takes shape.
- 28 days of paid holiday, plus public/bank holidays.
- Additional detail: Training or development support may be provided.
Job details
- Benefits mentioned: Pension, Holiday allowance, Private healthcare, Training
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